Verified Job
IT / Software / Data Analyst
Associate - AI Engineer (CTE)- job post Bain & Company Inc
IT / Software / Data Analyst
#795329
Remote / WFH
Bain & Company Inc
Job Description
Full job description
About us
In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.
The Capabilities Tech Hub works closely with CoEs across the Capabilities cluster — including Strategy, Corporate Finance, Performance Improvement, and Customer — to shape and deliver priority AI, automation, and product initiatives tailored to CoE’s domain -specific needs. The Hub plays a key role in developing next-generation tools and products, leveraging GenAI to enable faster, smarter, and more scalable delivery. In addition, it brings deep expertise in Python and advanced analytics to generate actionable insights and drive measurable client impact
About you
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
2-5 years of professional experience in AI engineering, AI, chatbot development, or Gen AI roles.
Strong proficiency in Python and SQL for building applications and data transformations and good familiarity with software engineering best practices.
Partner with different COE leadership and delivery teams to understand workflows, pain points, and value levers across consulting data operations.
Identify and prioritize high-impact opportunities where Agentic AI can improve accuracy, efficiency, and scalability of processes and delivery
Design Agentic AI architectures (agents, tools, orchestration, memory, guardrails) and build rapid GenAI prototypes to prove value, iterate quickly with users, and define clear success metrics and adoption criteria.
Build and optimize grounding and structured retrieval patterns (e.g., RAG with vector search) to ensure responses are traceable to domain data and maintain factual accuracy.
Work with engineering to productionize validated prototypes into reliable, secure, and scalable services.
Develop robust application and data-layer logic using Python and SQL, including APIs, pipelines, automation workflows, and maintainable codebases.
Implement model evaluation, monitoring, and performance tracking for deployed systems (quality, latency, cost, bias, and safety).
Ensure responsible AI practices and guardrails are embedded in design, covering evaluation frameworks, bias mitigation, and ethical considerations.
Use AI-assisted development tools to accelerate delivery while maintaining engineering rigor and quality standards.
Contribute to reusable frameworks, patterns, and documentation to enable repeatable build-and-scale of AI solutions across use cases.
Stay up to date on state-of-the-art generative models, LLM tooling, and best practices to continuously elevate solution quality and performance
What you’ll do
Leverage advanced analytics, ETL techniques, and visualization tools such as Tableau to deliver insights in a productized delivery model
Work under the guidance of a Project Leader or Manager, contributing to strategy development and capability building
Collaborate with case teams across geographies and industries, focusing exclusively on Commercial Excellence projects
Independently manage workstreams within broader consulting engagements
Provide technical expertise and innovative solutions to internal teams
Collaborate with Project Leaders on data operations, analytics, and product development
Perform data processing and statistical analysis using tools such as Alteryx, Python.
Identify and integrate new data sources, analytical methodologies, and database management techniques
Conduct data-driven storytelling, identifying key insights and customer segmentation
Ensure accuracy and efficiency in research, analysis, and deliverables
Synthesize insights, formulate actionable recommendations, and communicate them effectively to internal and client teams
Facilitate cross-team collaboration and knowledge-sharing on technical best practices
What makes us a great place to work
About us
In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.
The Capabilities Tech Hub works closely with CoEs across the Capabilities cluster — including Strategy, Corporate Finance, Performance Improvement, and Customer — to shape and deliver priority AI, automation, and product initiatives tailored to CoE’s domain -specific needs. The Hub plays a key role in developing next-generation tools and products, leveraging GenAI to enable faster, smarter, and more scalable delivery. In addition, it brings deep expertise in Python and advanced analytics to generate actionable insights and drive measurable client impact
About you
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
2-5 years of professional experience in AI engineering, AI, chatbot development, or Gen AI roles.
Strong proficiency in Python and SQL for building applications and data transformations and good familiarity with software engineering best practices.
Partner with different COE leadership and delivery teams to understand workflows, pain points, and value levers across consulting data operations.
Identify and prioritize high-impact opportunities where Agentic AI can improve accuracy, efficiency, and scalability of processes and delivery
Design Agentic AI architectures (agents, tools, orchestration, memory, guardrails) and build rapid GenAI prototypes to prove value, iterate quickly with users, and define clear success metrics and adoption criteria.
Build and optimize grounding and structured retrieval patterns (e.g., RAG with vector search) to ensure responses are traceable to domain data and maintain factual accuracy.
Work with engineering to productionize validated prototypes into reliable, secure, and scalable services.
Develop robust application and data-layer logic using Python and SQL, including APIs, pipelines, automation workflows, and maintainable codebases.
Implement model evaluation, monitoring, and performance tracking for deployed systems (quality, latency, cost, bias, and safety).
Ensure responsible AI practices and guardrails are embedded in design, covering evaluation frameworks, bias mitigation, and ethical considerations.
Use AI-assisted development tools to accelerate delivery while maintaining engineering rigor and quality standards.
Contribute to reusable frameworks, patterns, and documentation to enable repeatable build-and-scale of AI solutions across use cases.
Stay up to date on state-of-the-art generative models, LLM tooling, and best practices to continuously elevate solution quality and performance
What you’ll do
Leverage advanced analytics, ETL techniques, and visualization tools such as Tableau to deliver insights in a productized delivery model
Work under the guidance of a Project Leader or Manager, contributing to strategy development and capability building
Collaborate with case teams across geographies and industries, focusing exclusively on Commercial Excellence projects
Independently manage workstreams within broader consulting engagements
Provide technical expertise and innovative solutions to internal teams
Collaborate with Project Leaders on data operations, analytics, and product development
Perform data processing and statistical analysis using tools such as Alteryx, Python.
Identify and integrate new data sources, analytical methodologies, and database management techniques
Conduct data-driven storytelling, identifying key insights and customer segmentation
Ensure accuracy and efficiency in research, analysis, and deliverables
Synthesize insights, formulate actionable recommendations, and communicate them effectively to internal and client teams
Facilitate cross-team collaboration and knowledge-sharing on technical best practices
What makes us a great place to work
